Instructions to use Seungjun/articleGeneratorV1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Seungjun/articleGeneratorV1.0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Seungjun/articleGeneratorV1.0") model = AutoModelForSeq2SeqLM.from_pretrained("Seungjun/articleGeneratorV1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7716353550e4dc3e514e51551bb5b6e42ba28c43ea1ff267379dc8baa403afe7
- Size of remote file:
- 374 MB
- SHA256:
- 9688e84ad47deacc944b85bd164b7960de608de88ff029e1c06366e5ebefbd3f
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